Implementation Method of Five-Axis CNC RTOS Kernel Based on gLink-II Bus DOI Creative Commons
Liangji Chen, Huimin Gao,

Huiying Li

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(10), P. 2960 - 2960

Published: May 8, 2025

With the rapid development of Computerized Numerical Control (CNC) systems, traditional industrial communication protocols fail to meet requirements for high real-time performance and reliability. To address these challenges, an open five-axis CNC system is designed implemented based on gLink-II bus protocol. This features a layered architecture that integrates Windows operating with Real-Time Operating System (RTOS) kernel, along multithreaded data interaction structure circular buffer enhance transmission improve responsiveness. In direct linear interpolation control machining, acceleration deceleration planning method introduced, taking into account kinematic constraints rotary axes. optimizes velocity control. The experimental results show achieves maximum response error less than 0.2 milliseconds period 0.5 in coordinated capable efficiently performing processing task scheduling, ensuring stability machining process.

Language: Английский

Interchangeable films made from cellulose acetate and different types of carbon nanotubes with humidity sensing capabilities DOI Creative Commons

Madalina Elena Bistriceanu,

Andreea Laura Chibac-Scutaru, Florin Tudorache

et al.

Sustainable materials and technologies, Journal Year: 2025, Volume and Issue: 43, P. e01237 - e01237

Published: Jan. 5, 2025

Language: Английский

Citations

2

Modeling and Relative Permittivity Modulation of Cu/PDMS Capacitive Flexible Sensor for Pressure Sensing DOI Creative Commons
Xu Wang,

Yuelong Zhang,

Tian Zhang

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 637 - 637

Published: Jan. 22, 2025

This study aims to establish an equivalent parallel capacitance model for a copper/polydimethylsiloxane (Cu/PDMS) capacitive flexible pressure sensor and modulate its relative permittivity optimize sensing performance. The Cu/PDMS composite material is ideal dielectric layer sensors due high constant tunable elasticity. By adjusting the different mixing ratios of PDMS copper particles in micro size, components structure properties can be modified, thereby affecting electrical mechanical performance sensor. We used finite element analysis (FEA) studied changes under various normal loading conditions assess sensitivity distribution characteristics. Experimental results show that has good repeatability range 0 50 kPa. Additionally, we explored effect addition carbon black particles. It could inferred added enhance conductivity, which would consequenced by optimization Cu black’s low density, it mechanically restore some flexibility up nearly 20%. Through these studies, our work provide theoretical support design application sensors.

Language: Английский

Citations

0

Photonic Chip Based on Ultrafast Laser-Induced Reversible Phase Change for Convolutional Neural Network DOI Creative Commons
Jiawang Xie,

Jianfeng Yan,

Haoze Han

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 11, 2025

Abstract Photonic computing has emerged as a promising technology for the ever-increasing computational demands of machine learning and artificial intelligence. Due to advantages in speed, integrated photonic chips have attracted wide research attention on performing convolutional neural network algorithm. Programmable are vital achieving practical applications computing. Herein, programmable chip based ultrafast laser-induced phase change is fabricated Through designing laser pulses, Sb film into waveguides can be reversibly switched between crystalline amorphous phase, resulting large contrast refractive index extinction coefficient. As consequence, light transmission write erase states. To determine time, transient dynamics revealed at atomic scale, time-resolved reflectivity measured. Based chip, networks built implement algorithm, images recognition task achieved. This work paves route fabricating by designed laser, which will facilitate application

Language: Английский

Citations

0

Rewritable Triple-Mode Light-Emitting Display DOI Creative Commons
Seokyeong Lee, Jong Woong Park,

Jihye Jang

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 13, 2025

Abstract Despite great progress in developing mode-selective light emission technologies based on self-emitting materials, few rewritable displays with multiple emissions have been demonstrated. Herein, we present a triple-mode light-emitting display enabled by stimuli-interactive fluorescence (FL), room-temperature phosphorescence (RTP), and electroluminescence (EL). The comprises coplanar electrodes separated gap, polymer composite FL inorganic phosphors (EL/FL layer), solvent-responsive RTP additives (RTP layer). Upon 254 nm UV exposure, dual-mode of occurs from the EL/FL layers, respectively. When polar liquid, besides water, is applied an AC field between electrodes, EL layer triggered, operates triple mode. Interestingly, when water to display, mode deactivated, rendering operate dual EL. By manipulating evaporation liquids FL, RTP, display. Additionally, high-security full-color information encryption demonstrated, wherein digital numbers, letters, Morse code encoded one optical only deciphered properly matched that other two modes. Thus, this article outlines strategy fulfill substantial demand for personalized multi-light-emitting displays.

Language: Английский

Citations

0

Bioinspired Electrolyte-Gated Organic Synaptic Transistors: From Fundamental Requirements to Applications DOI Creative Commons
Yuanying Liang, Hangyu Li, Hu Tang

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 24, 2025

Abstract Rapid development of artificial intelligence requires the implementation hardware systems with bioinspired parallel information processing and presentation energy efficiency. Electrolyte-gated organic transistors (EGOTs) offer significant advantages as neuromorphic devices due to their ultra-low operation voltages, minimal hardwired connectivity, similar environment electrophysiology. Meanwhile, ionic–electronic coupling relatively low elastic moduli channel materials make EGOTs suitable for interfacing biology. This review presents an overview device architectures based on electrochemical field-effect transistors. Furthermore, we requirements consumption tunable synaptic plasticity in emulating biological synapses how they are affected by materials, electrolyte, architecture, mechanism. In addition, summarize basic principle sensory recent progress a building block systems. Finally, current challenges future discussed.

Language: Английский

Citations

0

SiO2 fluorescent nanofiber film incorporating Eu3+-doped for inorganic red light-emitting diode DOI

Leixuan Li,

Yanxin Wang, Wei Xing

et al.

Optical Materials, Journal Year: 2025, Volume and Issue: unknown, P. 117009 - 117009

Published: March 1, 2025

Language: Английский

Citations

0

Sustainable Materials Enabled Terahertz Functional Devices DOI Creative Commons
Baoning Wang,

Haolan Wang,

Ying Bao

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 11, 2025

Abstract Terahertz (THz) devices, owing to their distinctive optical properties, have achieved myriad applications in diverse domains including wireless communication, medical imaging therapy, hazardous substance detection, and environmental governance. Concurrently, mitigate the impact of electronic waste generated by traditional materials, sustainable materials-based THz functional devices are being explored for further research taking advantages eco-friendliness, cost-effective, enhanced safety, robust biodegradability biocompatibility. This review focuses on origins biological structures materials as well succinctly elucidates latest device fabrication, communication macromolecule detection sensors, environment monitoring biomedical therapeutic devices. We highlight recent protein-based monitoring. Besides, this explores developmental prospects integrating with presenting potential future.

Language: Английский

Citations

0

Low-Power Memristor for Neuromorphic Computing: From Materials to Applications DOI Creative Commons
Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 14, 2025

Abstract As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application low-power-based memristors various aspects. The concept and structure devices are introduced. selection functional materials for low-power is discussed, including ion transport materials, phase change magnetoresistive ferroelectric materials. Two common types arrays, 1T1R 1S1R crossbar arrays introduced, physical diagrams edge chips discussed detail. Potential advanced multi-value storage, digital logic gates, analogue summarized. Furthermore, future challenges outlook based deeply discussed.

Language: Английский

Citations

0

Carbon-based flexible strain sensors: Recent advances and performance insights in human motion detection DOI Creative Commons

Ahmed I.J. Alqaderi,

Narayanan Ramakrishnan

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162609 - 162609

Published: April 1, 2025

Language: Английский

Citations

0

Skin-Mountable and Self-Healable Hydrogel for Strain Sensing DOI
Xu Yang, Hui Zhang, Ziang Wang

et al.

ACS Applied Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0